Autographic Design – the Matter of Data in a Self-Inscribing World

Autographic Design – the Matter of Data in a Self-Inscribing World

Autographic Design – the Matter of Data in a Self-Inscribing World

Book companion website autographic.design

An ambitious vision for design based on the premise that data is material, not abstract.

New Monograph published at MIT Press

Data analysis and visualization are crucial tools in today’s society, and digital representations have steadily become the default. Yet, more and more often, we find that citizen scientists, environmental activists, and forensic amateurs are using analog methods to present evidence of pollution, climate change, and the spread of disinformation. In this illuminating book, Dietmar Offenhuber presents a model for these practices, a model to make data generation accountable: autographic design.

Autographic refers to the notion that every event inscribes itself in countless ways. Think of a sundial, for example—a perfectly autographic device that displays information on itself. Inspired by such post-digital practices of visualization and evidence construction, Offenhuber describes an approach to visualization based on the premise that data is a material entity rather than an abstract representation. Emerson wrote, “Every act of the man inscribes itself in the memories of his fellows, and in his own manners and face.” In Autographic Design, Offenhuber introduces a model for design that emphasizes traces, imprints, and self-inscriptions, turning them into sensory displays.

In an age where misinformation is harder and harder to identify, Autographic Design makes an urgent and persuasive case for a different approach that calls attention to the production of data and its connection to the material world. (MIT Press)

Praise

“A suggestive addition to the literature on data and materiality, Offenhuber’s work on the ‘self-inscribing autographic trace’ should quickly become a standard reference in the fields of computational analysis and design.”

Johanna Drucker, Professor of Information Studies, UCLA; author of Inventing the Alphabet

“Offenhuber shows how autographic design operations and techniques can offer a refreshing new way to trace data culture without forgetting software. This is one of the most important recent books in design and critical data studies.”

Jussi Parikka, Professor of Digital Aesthetics and Culture, Aarhus University; author of Operational Images

https://mitpress.mit.edu/9780262547024/autographic-design/
https://www.amazon.com/Autographic-Design-Self-Inscribing-metaLAB-Projects/dp/0262547023/

Reconsidering Representation

Reconsidering Representation

Reconsidering Representation

In 2022/2023 I co-led the workgroup “representational strategies” together with Joy Mountford under the “Future of Design Education” initiative led by Don Norman and Meredith Davis.

The journal article “Reconsidering Representation in College Design Curricula” published in She Ji journal (Open Access) summarizes our thoughts on the challenges and issues connected to representation.

We also summarized our recommendations in a 12 big ideas about representation document. 

 

Navigating the Sky

Navigating the Sky

Navigating the Sky

A short meditation in two parts about how ideas and knowledge shape and order what we find in the sky. It was commissioned for the traveling exhibition Atmospheres: Art, Science, and Space Research, within the Austrian state exhibition Diversity of Life: Showing Styria 2023; it will be on view from March 23 – April 4 at the Mobile Pavillion at the Heldenplatz, Vienna, and from April 29 – May 11 at the Tierwelt Herberstein in Austria.

Manu-o-Kū

The first part is based on a narration by Polynesian navigator Nainoa Thompson who describes how stars, clouds, waves, and living beings form an interconnected system of orientation that can be read, felt, heard, and smelled. This celestial knowledge is not a product of the human mind alone but shared with animals such as the seabird Manu-o-Kū, which indicates the proximity of land. Thompson’s Hawaiian voyaging canoe played a central role in the revival of traditional Polynesian non-instrumental navigation techniques in the 1970s. The close entanglement of celestial knowledge and cultural ideas is also reflected in the visuals generated by an artificial neural network that has been trained on millions of images representing contemporary visual culture.

SIMBAD

The second part traces how scientific knowledge is shaped by instruments and human culture. SIMBAD, alluding to another mythical seafarer, is the name of an astronomical database maintained by the Université de Strasbourg. It maps every celestial object described in scientific literature to its corresponding place in the sky. Looking at the composite image of all astronomical references, one is struck by distinct geometrical patterns – rectangles, circles, and other complex shapes appear in the map of all known stars and galaxies, revealing the imprints of instruments, publication formats, and changing cultural interests. Sounds and visuals are generated from 28 million bibliographic references extracted from the database.

by Azra Akšamija & Dietmar Offenhuber

Technical Notes:

Manu-o-Kū was created using Stable Diffusion 1.5 and the deforum animation script – upscaling to 7200×1200 with Topaz Gigapixel.

The SIMBAD data set used in the visualization consists of 22 million records downloaded via SIMBAD’s TAP query language. The visualization was created in R using the rgl package, the sonification was created using inverse-fourier transformation of the visualization.

 

Research and project development assistance: Merve Akdoğan, Jehanzeb Shoaib; AI animation: Merve Akdoğan; Data visualisation and sonification: Dietmar Offenhuber Stimme / Voices: Franz Wenzl (Deutsch) und / and Nainoa Thompson, Polynesian Voyaging Society; SIMBAD Astronomical Database, Centre de Données astronomiques de Strasbourg. Thanks to: Hōkūleʻa Polynesian Voyaging Society; Thomas Boch, Université de Strasbourg, Prof. Alyssa Goodman, Peter Williams, Alberto Pepe – Harvard University